May 15, 2024, 4:42 a.m. | Yang Qu, Jinming Ma, Feng Wu

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.08443v1 Announce Type: new
Abstract: Active voltage control presents a promising avenue for relieving power congestion and enhancing voltage quality, taking advantage of the distributed controllable generators in the power network, such as roof-top photovoltaics. While Multi-Agent Reinforcement Learning (MARL) has emerged as a compelling approach to address this challenge, existing MARL approaches tend to overlook the constrained optimization nature of this problem, failing in guaranteeing safety constraints. In this paper, we formalize the active voltage control problem as a …

abstract agent arxiv challenge congestion control cs.lg distributed generators multi-agent network power quality reinforcement reinforcement learning safety type while

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